| Vol-3590 urn:nbn:de:0074-3590-8 Copyright © 2023 for the individual papers by the papers' authors. Copyright © 2023 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

# LERI 2023
Learning and Evaluating Recommendations with Impressions 2023

### Proceedings of the Workshop on Learning and Evaluating Recommendations with Impressions
co-located with the 17th ACM Conference on Recommender Systems (RecSys 2023)

### Singapore, September 19th, 2023.

Edited by:

### Maurizio Ferrari Dacrema *
Pablo Castells ** and ***
Justin Basilico ****
Paolo Cremonesi * and *****
Fernando Benjamín Pérez Maurera * and *****

* Politecnico di Milano, Italy
** Universidad Autonónoma de Madrid, Spain
*** Amazon, USA
**** Netflix, USA
***** ContentWise, Italy

## Table of Contents

- Workshop on Learning and Evaluating Recommendations with Impressions (LERI 2023) 1-8
  Maurizio Ferrari Dacrema, Pablo Castells, Justin Basilico, Paolo Cremonesi
  Summary: There were 11 papers submitted for peer-review to this workshop. Out of these, 7 papers were accepted for this volume, 2 as regular papers and 5 as short papers.

### Keynote

- Recommendation Modeling with Impression Data at Netflix
  Jiangwei Pan

### Session 1

- Impression-Informed Multi-Behavior Recommender System: A Hierarchical Graph Attention Approach 9-21
  Dong Li, Divya Bhargavi, Vidya Sagar Ravipati
- Characterizing Impression-Aware Recommender Systems 22-33
  Fernando Benjamín Pérez Maurera, Maurizio Ferrari Dacrema, Pablo Castells, Paolo Cremonesi
- Effects of Human-curated Content on Diversity in PSM: ARD-M Dataset (short paper) 34-40
  Marcel Hauck, Ahtsham Manzoor, Sven Pagel

### Session 2

- Formulating Video Watch Success Signals for Recommendations on Short Video Platforms (short paper) 41-48
  Srijan Saket, Sai Baba Reddy Velugoti, Rishabh Mehrotra
- Offline Evaluation using Interactions to Decide Cross-selling Recommendations Algorithm for Online Food Delivery (short paper) 49-54
  Manchit Madan
- Contextual Position Bias Estimation Using a Single Stochastic Logging Policy (short paper) 55-61
  Giuseppe Di Benedetto, Alexander Buchholz, Ben London, Matej Jakimov, Yannik Stein, Jan Malte Lichtenberg, Vito Bellini, Matteo Ruffini, Thorsten Joachims
- Incorporating Impressions to Graph-Based Recommenders (short paper) 62-67
  Fernando Benjamín Pérez Maurera, Maurizio Ferrari Dacrema, Pablo Castells, Paolo Cremonesi

### Panel discussion

- Panel discussion moderated by Paolo Cremonesi:
  Jiangwei Pan, Arnab Bhadury, Srijan Saket

2023-11-28: submitted by Fernando Benjamín Pérez Maurera, metadata incl. bibliographic data published under Creative Commons CC0
2023-12-14: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|